LI Gui-yong, LI Ping-an, LI He-bin. Partially Coherent Channel Estimation Algorithm based on IR. [J]. Study on Optical Communications (4):10-14(2021)
DOI:
LI Gui-yong, LI Ping-an, LI He-bin. Partially Coherent Channel Estimation Algorithm based on IR. [J]. Study on Optical Communications (4):10-14(2021) DOI: 10.13756/j.gtxyj.2021.04.003.
Partially Coherent Channel Estimation Algorithm based on IR
For millimeter-wave large-scale Multiple-Input Multiple-Output (MIMO) systems with hybrid precoding
due to the hardware defects in the system
random phase shifts will be introduced in the received pilots
which will make the performance of traditional channel estimation algorithms become very poor. In some extreme conditions
even the channel information cannot be estimated. In order to solve this problem
this paper uses pilots from different radio frequency chains to have the same phase offset in the same time period
and pilots in different time periods have different phase offset characteristics to estimate the channel information with an Iterative Reweight (IR) based Partially Coherent-Compressive Phase Retrieval (PC-CPR) (IR-PC-CPR) algorithm. The algorithm first performs phase offset compensation on the received coherent pilots
and then uses an iterative reweight (IR) algorithm to estimate channel parameters to achieve high-precision channel estimation. The simulation results show that the algorithm proposed in this paper has better performance than the PC-CPR algorithm.
关键词
毫米波混合预编码压缩相位提取迭代重加权
Keywords
millimeter wavehybrid precodingCPRIR
references
Larsson E G, Edfors O, Tufvesson F, et al. Massive MIMO for Next Generation Wireless Systems[J]. IEEE Communications Magazine, 2014, 52(2): 186-195.
Gao X, Dai L, Sayeed A M. Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications[J]. IEEE Communications Magazine, 2018, 56(4): 211-217.
Alkhateeb A, Ayach O E, Leus G, et al. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 831-846.
Dai L, Wang Z, Yang Z. Spectrally Efficient Time-Frequency Training OFDM for Mobile Large-Scale MIMO Systems[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(2): 251-263.
Hur S, Kim T, Love D, et al. Millimeter Wave Beamforming for Wireless Backhaul and Access in Small Cell Networks[J]. IEEE Transactions on Communications, 2013, 61(10): 4391-4403.
Alkhateeb A, Leus G, Heath R W. Compressed Sensing based Multi-User Millimeter Wave Systems: How Many Measurements are Needed?[C]//2015 IEEE International Conference on Acoustics, Speech and Signal Processing. South Brisbane, QLD, Australia: IEEE, 2015: 7178503.
Marzi Z, Ramasamy D, Madhow U. Compressive Channel Estimation and Tracking for Large Arrays in mm-Wave Picocells[J]. IEEE Journal of Selected Topics in Signal Processing, 2016, 10(3): 514-527.
Liu A, Lau V K N, Honig M L. Compressive RF Training for Massive MIMO with Channel Support Side Information[J]. IEEE Transactions on Wireless Communications, 2019, 18(7): 3628-3641.
Lee J, Gil G T, Lee Y H. Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications[J]. IEEE Transactions on Communications, 2016, 64(6): 2370-2386.
Liao A, Gao Z, Wang H, et al. Closed-Loop Sparse Channel Estimation for Wideband Millimeter-Wave Full-Dimensional MIMO Systems[J]. IEEE Transactions on Communications, 2019, 67(12): 8329-8345.
Myers N J, Heath R W. A Compressive Channel Estimation Technique Robust to Synchronization Impairments[C]//2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications(SPAWC). Sapporo, Japan: IEEE, 2017: 8227747.
Abari O, Hassanieh H, Rodriguez M, et al. Millimeter Wave Communications: From Point-to-Point Links to Agile Network Connections[C]//Acm Workshop on Hot Topics in Networks. Atlanta, GA, USA: ACM, 2017: 169-175.
Rodriguez-Fernandez J, Gonzalez-Prelcic N, Heath R W. Channel Estimation for Millimeter Wave MIMO Systems in the Presence of CFO Uncertainties[C]//2018 IEEE International Conference on Communications(ICC). Kansas City, MO, USA: IEEE, 2018: 8422342.
Myers N J, Heath R W. Message Passing-based Joint CFO and Channel Estimation in mmWave Systems with One-bit ADCs[J]. IEEE Transactions on Wireless Communications, 2019, 18(6): 3064-3077.
Hu C, Wang X, Dai L, et al. Partially Coherent Compressive Phase Retrieval for Millimeter-Wave Massive MIMO Channel Estimation[J]. IEEE Transactions on Signal Processing, 2020, 68: 1673-1687.
Candes E J, Li X, Soltanolkotabi M. Phase Retrieval via Wirtinger Flow: Theory and Algorithms[J]. IEEE Transactions on Information Theory, 2014, 61(4): 2399924.
A New Zero-Forcing Adaptive Hybrid Precoding Algorithm
Beam Selection Algorithm in Millimeter Wave based on GCNet
Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems
Energy Saving Mechanism based on Beamforming in 5G Millimeter Wave Communication
Study on Hybrid Precoding Algorithm in Millimeter-Wave MIMO Systems
Related Author
No data
Related Institution
Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications
. School of Communication and Information Engineering; b. Key Laboratory of New Generation Broadband Mobile Communication Technology, Chongqing University of Posts and Telecommunication
Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
School of Communication and Information Engineering,CUPT